Owen Rohwer Huff

Owen Rohwer Huff is a Research Fellow in the Department of Geosciences at the University of Oslo, pursuing an industrial PhD in collaboration with Aker BP. His work focuses on applying machine learning techniques to geophysical challenges, particularly in seismic data processing and reservoir monitoring.

• PhD Fellow (Industry), University of Oslo (2022–)
• Industrial Partner: Aker BP
• Supervisors: Professor Jan Inge Faleide (UiO), Jan Erik Lie (Aker BP), Aina Juell Bugge (Aker BP)
• MSc in Geophysics, Colorado School of Mines (US)

Research Interests center on:

• Reconstruction of missing near offset data in marine seismic surveys
• Angle stack alignment and conditioning for AVO (Amplitude Versus Offset) analysis
• Deep learning architectures (e.g., convolutional neural networks) for geophysical data processing
• Distributed Acoustic Sensing (DAS) for microseismic monitoring

Key Publications demonstrate trends in:

• Machine learning for near offset gap restoration in marine seismic data
• Angle stack conditioning techniques via convolutional neural networks
• Guided wave eigenfunction theory for unconventional reservoir characterization
• Microseismic event classification using DAS and CNNs

Academic Code contributions include open-source CNNs for seismic data processing available on GitHub:

• Repository: near_offset_reconstruction_CNN
• Features: UNet architecture, synthetic generation code, trained models
• Requirements: Data dimensions of 448×40 (CMPs) or 448×72 (shots) for processing